Positioning and detecting of fault points in optical communication cable lines

Liao Minmin; Chen Wei

doi:10.13756/j.gtxyj.2015.01.009

您当前的位置：

首页 >

文章列表页 >

Positioning and detecting of fault points in optical communication cable lines

- Positioning and detecting of fault points in optical communication cable lines
- Study on Optical communication Issue 1, Pages: 26-27(2015)
- 作者机构：
  
  1. 武汉邮电科学研究院
  2. 江苏亨通光纤科技有限公司
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2015.01.009
  CLC： TN913.33
- Published：2015，
扫描看全文
[1]廖敏敏,陈伟.通信光缆线路中故障点的定位与检测[J].光通信研究,2015(01):26-27+34.

Liao Minmin, Chen Wei. Positioning and detecting of fault points in optical communication cable lines. [J]. (1):26-27(2015)
[1]廖敏敏,陈伟.通信光缆线路中故障点的定位与检测[J].光通信研究,2015(01):26-27+34. DOI： 10.13756/j.gtxyj.2015.01.009.

Liao Minmin, Chen Wei. Positioning and detecting of fault points in optical communication cable lines. [J]. (1):26-27(2015) DOI： 10.13756/j.gtxyj.2015.01.009.

摘要

为了实现对信号和噪声的有效分离

从而对光缆线路中的故障点进行准确定位

避免对故障点的漏判/误判

改善故障的定位精度

文章提出一种对通信光缆线路中的故障点进行定位和检测的方法

基于小波变换模极大值监测信号奇异点的理论

并结合阈值去噪法来对OTDR（光时域反射仪）测试曲线进行去噪。结果表明

该方法能对OTDR测试曲线进行有效去噪

更准确地确定光缆故障点的位置。

Abstract

In order to effectively separate signal from noise so as to accurately locate the fault points in optical cable lines

avoid missing or misjudging the point of failure and improve the positioning accuracy

this paper presents a method for locating and detecting the fault points in communication cable lines.In this method

it eliminates or decreases the noise in Optical Time Domain Reflectometer（OTDR）testing curve by using the theory of supervising the signal singularity with Wavelet Transform Modulus Maxima（WTMM）in connection with the Threshold De-noising Method（TDM）.The results show that using the proposed de-noising method

it is possible to effectively de-noise OTDR test curve and more accurately locate the fault points in cable lines.

关键词

小波变换模极大值阈值去噪Lipschilz指数故障点

Keywords

wavelet transformmodulus maximathreshold de-noisingLipschilz indexfault point

references

更多指标>

Views

148

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Mixed threshold denoising based on wavelet transform

A spatially adaptive wavelet denoising algorithm

A Denoising Algorithm with Wavelet Transform

Related Author

No data

Related Institution

School of Mechatronics and Engineering,University of Electronic Science and Technology of China

电子科技大学机械电子工程学院四川成都610054

Telecommunication Engineering School, Beijing University of Posts & Telecommunications

北京邮电大学电信工程学院北京100876

Foshan Institute of sciencl and Technology\ Foshan\

⁰